CV Education Publications Outreach Presentations
Email: kyle.hatch@tri.global
I am an AI Resident in the Machine Learning Division at the Toyota Research Institute (TRI). I plan to pursue a PhD in Computer Science, Machine Learning, or Robotics. My research interests lie primarily within robot learning and reinforcement learning (RL).
I am especially excited about exploring solutions to the following questions: How can we leverage foundation models that can reason about both visual and language information for robot learning? How can we utilize video data–which exists on a massive scale on the Internet but does not contain action labels–for training robot policies? Can we use goal-conditioned/self-supervised RL to learn from random play data or autonomously collected robot data?
I was extremely fortunate to work with many wonderful mentors during my time as a master’s and undergraduate student. I worked with Prof. Chelsea Finn in the Stanford IRIS Lab as an undergraduate and master’s student. As a master’s student, I also worked with Prof. Ben Eysenbach. I first started research as an undergraduate student with Prof. Mykel Kochenderfer in the Stanford Intelligent Systems Laboratory (SISL).
Education
Stanford University
Stanford, CA
M.S. in Computer Science
Graduated: June 2023
Artificial Intelligence Track
GPA: 4.05
Coterminal Master’s Program
Stanford University
Stanford, CA
B.S. in Computer Science with honors
Graduated: June 2022
Artificial Intelligence Track
Publications
Published/Accepted
Rafailov, R.*, Hatch, K. B.*, Kolev, V., Martin, J., Phielipp, M., and Finn, C., ”MOTO: Offline to Online Fine-tuning for Model-Based Reinforcement Learning,” Conference on Robot Learning (CoRL), 2023. PDF Website
Hatch, K. B., Eysenbach, B., Yu, T., Rafailov, R., Salakhutdinov, R., Levine, S., and Finn, C., ”Contrastive Example-Based Control,” Learning for Dynamics & Control Conference (L4DC), 2023. PDF Website Presentation (NeurIPS workshop version)
Zhou, G., Dean, V., Srirama, M. K., Rajeswaran, A., Pari, J., Hatch, K. B., Jain, A., Yu, T., Abbeel, P., Pinto, L., Finn, C., and Gupta, A., “Train Offline, Test Online: A Real Robot Learning Benchmark,” 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023. Website
Mern, J., Hatch, K., Silva, R., Hickert, C., Sookoor, T., and Kochenderfer, M. J., “Autonomous Attack Mitigation for Industrial Control Systems,” International Conference on Dependable Systems and Networks (DSN’22), 2022, pp. 28–36. PDF
Senanayake, R.*, Hatch, K.*, Zheng, J., and Kochenderfer, M. J., “3D Radar Velocity Maps for Uncertain Dynamic Environments,” IEEE International Conference on Intelligent Robots and Systems (IROS), 2021. PDF Presentation
Hatch, K., Mern, J., and Kochenderfer, M. J., “Obstacle Avoidance Using a Monocular Camera,” AIAA SciTech Forum, 2021. PDF Presentation
Under Review
Rafailov, R.*, Hatch, K. B.*, Singh, A., Smith, L., Kumar, A., Kostrikov, I., Hansen-Estruch, P., Kolev, V., Ball, P., Wu, J., Finn, C., and Levine, S., “D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning,” International Conference on Learning Representations (ICLR), 2024.
* denotes equal contribution
Outreach
Breakthrough Silicon Valley (BTSV)
November 2023 – Present
Volunteer Tutor
Breakthrough Silicon Valley is an organization that provides academic support to middle school and high school students who are on track to becoming first-generation college students. I primarily provide homework support to high school students with mathematics.
East Palo Alto Stanford Academy (EPASA)
October 2018 – March 2020
Volunteer Tutor
EPASA is a program run through Stanford University in which undergraduate students tutor middle school students who attend school in East Palo Alto. I provided homework support to seventh and eighth grade students in math and English, and also helped them to develop effective study skills.
Stanford 1st Ward Volunteer Tutoring Program
September 2017 – June 2019
Volunteer Tutor
The Stanford 1st Ward Volunteer Tutoring Program is a program run through a local religious organization that provides free tutoring to K-12 students from around the South San Francisco Bay Area. I provided homework support students in math, reading, and English.
Video Presentations
“Offline Example-Based Control,” NeurIPS Offline RL and Deep RL Workshops, 2022.
“3D Radar Velocity Maps for Uncertain Dynamic Environments,” IEEE International Conference on Intelligent Robots and Systems (IROS), 2021.
“Obstacle Avoidance Using a Monocular Camera,” AIAA SciTech Forum, 2021.